complex model

complex model

A complex model is a model with at least one explanatory variable.


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    • SS Model

      SS model is the reduction in error (measured in sums of squares) due to the model; the area of all the squared deviations based on the distance between the complex model predictions and the null model predictions.
    • General Linear Model

      General Linear Model is a mathematical notation that represents DATA = MODEL + ERROR; for example, the GLM form of the null model is written as , the GLM form of a more complex model with an additional parameter is written as.
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      A simple model is any model that is relatively more simple; in this course we typically compare relatively more complex models with one explanatory variable to a simple model that does not have any explanatory variables.
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      A statistical model can help us (1) understand patterns in data, (2) predict what will happen in the future, and (3) improve the functioning of complex systems; there are many kinds of models, but the statistical model we focus on here generates a ...
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      Null model uses the mean to model the distribution of a quantitative variable; called "null" because it does not have any explanatory variables; also called an empty model; sometimes referred to as a simple model because it is simpler than models ...